Missing methods & reusable code

[smenon8]

Remove all hardcoded code in VisualizeResults.ipynb and replace them with reusable methods. There should be a workflow ideally which should be followed for any task.

• [x] Creating experiments using Mechanical Turk.
• [x] Getting data from IBEIS for statistical analysis.
• [x] Create data files required for analysis. Parameterize functions to accept the required attributes.
• [x] Create a machine learning task, specify training data and return a classifier.
• [ ] Have an API for pulling image recognition from MS AI tool in Python. Currently in R - developed by Lucas.
• [x] Apply the trained classifier on the test data.
• [x] Completely parameterized method for calculating population estimates using Mark-Recapture on predicted shared data.

[smenon8]

Add more detail to what is meant by Create data files required for analysis. Parameterize functions to accept the required attributes.

[smenon8]

Change ImageShareabilityClassifiers notebook to utilize the new script which can directly run the classifiers.